: Used for discrete events, such as the number of customer arrivals or success/failure trials in a business process.
: Understanding the behavior of variables through models such as: etf2334
Analyzing the relationship between two variables (e.g., how advertising spend impacts revenue). Estimating the ( ) to predict future outcomes. Multiple Regression Analysis : : Used for discrete events, such as the
: Ensuring the data meets "Gauss-Markov" assumptions (like homoscedasticity and lack of multicollinearity) to ensure the regression results are reliable. : Used for discrete events